Knowledge representation is an issue that arises in both cognitive science and artificial intelligence. In cognitive science it is concerned with how people store and process information. In artificial intelligence (AI) the primary aim is to store knowledge so that programs can process it and achieve the verisimilitude of human intelligence. AI researchers have borrowed representation theories from cognitive science. Thus there are representation techniques such as frames, rules and semantic networks which have originated from theories of human information processing. Since knowledge is used to achieve intelligent behavior, the fundamental goal of knowledge representation is to represent knowledge in a manner as to facilitate inferencing i.e. drawing conclusions from knowledge. [1]
{Knowledge representation|A} [is|B] {an issue|C} that [arises in|D] both {cognitive science and artificial intelligence|E}. [In|F] {cognitive science|G}, {it|H} [is concerned with|I] [how|J] {people|K} [store and process|L] {information|M}. [In|N] {artificial intelligence|O} {the primary aim|P} [is|Q] [to store|R] {knowledge|S} [so|T] that {programs|U} [can process|V] {it|W} and [achieve|X] {the verisimilitude|Y} [of|Z] {human intelligence|AA}. {AI researchers|AB} [have borrowed|AC] {representation theories|AD} [from|AE] {cognitive science|AF}. <Thus|AG> <there are|*> {representation techniques|AH} [such as|AI] {frames|AJ}, {rules|AK} and {semantic networks|AL} which [have originated from|AM] {theories|AN} [of|AO] {human information processing|AP}. <Since|AQ> {knowledge|AR} [is used to achieve|AS] {intelligent behavior|AT}, {the fundamental goal|AU} [of|AV] {knowledge representation|AW} [is|AX] [to represent|AY] {knowledge|AZ} [in|BA] {a manner|BB} as [to facilitate|BC] {inferencing|BD} <i.e.|BE> {drawing conclusions|BF} [from|BG] {knowledge|BH}.
B(A,C)
D(C,E1)
D(C,E2)
I(F(H,G),J(K,L1(K,M)))
I(F(H,G),J(K,L2(K,M)))
Q(N(P,O),T(R(_,S),V(U,W)&X(U,Z(Y,AA))))
AG(AC(AB,AE(AD,AF)),AM(AI(AH,AJ),AO(AN,AP)))
AG(AC(AB,AE(AD,AF)),AM(AI(AH,AK),AO(AN,AP)))
AG(AC(AB,AE(AD,AF)),AM(AI(AH,AL),AO(AN,AP)))
AQ(AS(AR,AT),AX(AV(AU,AW),BC(BA(AY(_,AZ),BB),BD))
BE(BD,BG(BF,BH))
[1] Knowledge Representation, Wikipedia
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